Piskorski J, Kośmider M, Mieszkowski D, Żurek S, Biczuk B, Jurga S, Krauze T, Wykrętowicz A, Guzik P. Associations between heart rate asymmetry expression and asymmetric detrended fluctuation analysis results.
Med Biol Eng Comput 2022;
60:2969-2979. [PMID:
36001222 PMCID:
PMC9463330 DOI:
10.1007/s11517-022-02645-6]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/09/2022] [Indexed: 11/30/2022]
Abstract
Abstract
The relation between recently established asymmetry in Asymmetric Detrended Fluctuation Analysis (ADFA) and Heart Rate Asymmetry is studied. It is found that the ADFA asymmetric exponents are related both to the overall variability and to its asymmetric components at all studied time scales. We find that the asymmetry in scaling exponents, i.e., \documentclass[12pt]{minimal}
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\begin{document}$$\alpha ^{+}<\alpha ^{-}$$\end{document}α+<α- is associated with both variance-based and runs-based types of asymmetry. This observation suggests that the physiological mechanisms of both types are similar, even though their origins and mathematical methods are very different.
Graphical abstract
The graphical abstract demonstrates strong, nonlinear association between the expression of Heart Rate Asymmetry measured using relative descriptors and the Asymmetric Detrended Fluctuation Analysis results. It is clear that there is a strong relation between the two theoretically disparate approaches to signal analysis. The technique to demonstrate the association is loess fit. ![]()
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